ml engineer for recommender systems in social casino games (Cataluña)

ml engineer for recommender systems in social casino games (Cataluña)

15 oct
|
Aristocrat
|
Cataluña

15 oct

Aristocrat

Cataluña

Описание: Aristocrat develops gaming content and technology, including free-to-play mobile games, regulated land-based gaming, social casino games, and regulated online real-money gaming. Product Madness specializes in social casino mobile games. Задачи: * Design, train, evaluate, and retrain machine learning models, especially recommender systems, to support game features, player experience, and operational efficiency. * Own model performance monitoring design, including tracking drift, data quality, and degradation, setting thresholds, and defining model health in business terms. * Establish experimentation practices, including model versioning and experiment tracking, to make experiments reproducible and models easy to compare and promote. * Establish model governance practices, define how models are promoted to production, and lay the foundations for communication between MLOps and Data Science. * Create templates and cookiecutter scaffolding to standardize how Data Science structures, hands off, and communicates models and experiments.



* Build robust training and feature-engineering pipelines and write production-ready Python and SQL. * Explore and contribute to early-stage projects involving LLMs, RAG, and agentic AI where they add value as a complement to the role. * Develop simple interfaces, such as Streamlit apps, to expose ML capabilities to non-technical users when useful. * Collaborate with product, data, and engineering teams, and communicate results, limitations, and recommendations to technical and business audiences. Требования: * At least 4 years of experience applying machine learning to real-world problems, from data to deployment. * Proven experience with recommender systems, such as collaborative filtering or ranking, applied to real products. * Strong Python skills and hands‑on experience with ML libraries such as scikit‑learn, PyTorch, TensorFlow, or XGBoost. * Solid SQL expertise and experience working with large data warehouses. * Hands‑on

📌 ml engineer for recommender systems in social casino games (Cataluña)
🏢 Aristocrat
📍 Cataluña

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